Deep Learning in Healthcare Book [PDF] Download

Download the fantastic book titled Deep Learning in Healthcare written by Yen-Wei Chen, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning in Healthcare", which was released on 18 November 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Deep Learning in Healthcare by Yen-Wei Chen PDF

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.


Detail About Deep Learning in Healthcare PDF

  • Author : Yen-Wei Chen
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 225 pages
  • ISBN : 3030326063
  • PDF File Size : 48,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Deep Learning in Healthcare

Deep Learning in Healthcare
  • Publisher : Springer Nature
  • File Size : 23,7 Mb
  • Release Date : 18 November 2019
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This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical

Introduction to Deep Learning for Healthcare

Introduction to Deep Learning for Healthcare
  • Publisher : Springer Nature
  • File Size : 52,7 Mb
  • Release Date : 11 November 2021
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This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all

Machine Learning with Health Care Perspective

Machine Learning with Health Care Perspective
  • Publisher : Springer Nature
  • File Size : 21,9 Mb
  • Release Date : 09 March 2020
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This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and

Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
  • Publisher : Apress
  • File Size : 50,8 Mb
  • Release Date : 04 February 2019
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Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of

Deep Medicine

Deep Medicine
  • Publisher : Basic Books
  • File Size : 52,6 Mb
  • Release Date : 12 March 2019
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A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
  • Publisher : CRC Press
  • File Size : 38,9 Mb
  • Release Date : 15 February 2017
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Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
  • Publisher : Springer Nature
  • File Size : 48,6 Mb
  • Release Date : 06 February 2020
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This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other

Deep Learning Applications in Medical Imaging

Deep Learning Applications in Medical Imaging
  • Publisher : IGI Global
  • File Size : 42,8 Mb
  • Release Date : 16 October 2020
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Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however,

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Publisher : Academic Press
  • File Size : 27,7 Mb
  • Release Date : 21 June 2020
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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into